rule-based learning

X-KAN: Optimizing Local Kolmogorov-Arnold Networks via Evolutionary Rule-Based Machine Learning IJCAI 2025 FAIR: Filtering of Automatically Induced Rules EACL 2024 TR-Rules: Rule-based Model for Link Forecasting on Temporal Knowledge Graph Considering Temporal Redundancy EMNLP 2023 Decision Trees with Short Explainable Rules NeurIPS 2022 Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation IJCAI 2022 Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias AAAI 2022 GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition EACL 2021 Modeling Semantics and Pragmatics of Spatial Prepositions via Hierarchical Common-Sense Primitives ACL 2021 Self-Training using Rules of Grammar for Few-Shot NLU EMNLP 2021 User Driven Model Adjustment via Boolean Rule Explanations AAAI 2021 LIBRE: Learning Interpretable Boolean Rule Ensembles AISTATS 2020 Weakly Supervised Sequence Tagging from Noisy Rules AAAI 2020 Gaining Free or Low-Cost Interpretability with Interpretable Partial Substitute ICML 2019 Inverting and Modeling Morphological Inflection ACL 2019 Named Entity Extraction Based on A Maximum Entropy Model and Transformation Rules ACL 2000